LCS & GBML on Twitter- RT @msgbi: RT @newsycombinator: Machine Learning with F# http://t.co/nwQu6N7uaC May 24, 2013
- RT @newsycombinator: Machine Learning with F# http://t.co/nwQu6N7uaC May 24, 2013
- Machine Learning with F# → http://t.co/ffNpMNODyg (http://t.co/a9LvN5Be1J) May 24, 2013
- Google brings your Google+ photos right into Search, serves results via computer vision and machine learning: ... http://t.co/17fVrkDslS May 24, 2013
- Google brings your Google+ photos right into Search, serves results via computer vision and machine learning: ... http://t.co/g0NvMxWPlc May 24, 2013
- RT @mattmcd: Machine Learning with F# http://t.co/Qj8JtRWRni #fsharp #ocaml #functional May 24, 2013
Category Archives: Software
Meandre 2.0 Alpha Preview = Scala + MongoDB
A lot of water under the bridge has gone by since the first release of Meandre 1.4.X series. In January I went back to the drawing board and start sketching what was going to be 1.5.X series. The slide deck embedded above is a extended list of the thoughts during the process. As usual, I [...]
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GAssist and GALE Now Available in Python
Ryan Urbanowicz has released Python versions of GAssits and GALE!!! Yup, so excited to see a new incarnation of GALE doing the rounds. I cannot wait to get my hands on it. Ryan has also done an excellent job porting UCS, XCS, and MCS to Python and making those implementations available via “LCS & GBML central” for [...]
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Python LCS Implementations (GALE & GAssist) for SNP Environment
Urbanowicz_GALE_2010 Urbanowicz_GAssist_2010 The above .zip files contain open source python implementations of existing LCS algorithms (GALE & GAssist) written/modified to accommodate SNP (single nucleotide polymorphism) gene association studies. These are the implementations used in the following paper recently accepted at … Continue reading
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Scaling eCGA Model Building via Data-Intensive Computing
I just uploaded the technical report of the paper we put together for CEC 2010 on how we can scale up eCGA using a MapReduce approach. The paper, besides exploring the Hadoop implementation, it also presents some very compelling results obtained with MongoDB (a document based store able to perform parallel MapReduce tasks via sharding). [...]
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Posted in Data-Intensive Computing, eCGA, Estimation of distribution algorithms, hadoop, map-reduce, mongodb, pro, Research, Software
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Python LCS Implementations (XCS, UCS, MCS) for SNP Environment
Urbanowicz_XCS_2009 Urbanowicz_UCS_2009 Urbanowicz_MCS_2009 The above .zip files contain open source python implementations of existing LCS algorithms (XCS, UCS, MCS) written/modified to accommodate SNP gene association studies. These are the implementations used in the following paper recently accepted at GECCO: R.J. … Continue reading
Posted in Software
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Fast REST API prototyping with Crochet and Scala
I just finished committing the last changes to Crochet and tagged version 0.1.4vcli now publicly available on GitHub (http://github.com/xllora/Crochet). Also feel free to visit the issues page in case you run into question/problems/bugs. Motivation Crochet is a light weight web framework oriented to rapid prototyping of REST APIs. If you are looking for a Rails [...]
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Meandre is going Scala
After quite a bit of experimenting with different alternatives, Meandre is moving into Scala. Scala is a general purpose programming language designed to express common programming patterns in a concise, elegant, and type-safe way. This is not a radical process, but a gradual one while I am starting to revisit the infrastructure for the next [...]
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Temporary storage for Meandre’s distributed flow execution
Designing the distributed execution of a generic Meandre flow involves several moving pieces. One of those is the temporary storage required by the computing nodes (think of it as one node as one isolated component of a flow) to keep up with the data generated by a component, and also be able to replicate such [...]
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Posted in Data-Intensive Computing, data-intensive flows, java, meandre, Notes, python, Software, storage, tokyo cabinet
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Liquid: RDF endpoint for FluidDB
A while ago I wrote some thoughts about how to map RDF to and from FluidDB. There I explored how you could map RDF onto FluidDB, and how to get it back. That got me thinking about how to get a simple endpoint you could query for RDF. Imagine that you could pull FluidDB data [...]
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Posted in cloud computing, Data-Intensive Computing, FluidDB, meandre, Notes, RDF, Software, sparql, storage
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Liquid: RDF meandering in FluidDB
Meandre (NCSA pushed data-intensive computing infrastructure) relies on RDF to describe components, flows, locations and repositories. RDF has become the central piece that makes possible Meandre’s flexibility and reusability. However, one piece still remains largely sketchy and still has no clear optimal solution: How can we facilitate to anybody sharing, publishing and annotating flows, components, [...]
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Posted in cloud computing, Data-Intensive Computing, FluidDB, meandre, Notes, RDF, Research, Social Networks, Software, storage
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